Data-Driven Proof-of-Concept B2B Application

Boeing

Data-Driven Proof-of-Concept B2B Application

A working application allowed Boeing to demonstrate key features and gauge interest in a new offering

Challenge

Boeing is a large global company with a heavily siloed organizational structure and process-rich manufacturing environment.   

Modern airplanes are basically flying IoT sensor arrays, with almost every part of the plane capturing data during a flight, which is downloaded for analysis by the airline when a plane lands.  This data contains a wealth of potential insights, such as performance trends that can lead to more accurate maintenance planning. This data becomes even more valuable when it is aggregated with other airline-specific data as well as supplier data so it can be used to identify trends and issues early, to the benefit of the industry.

Of course, much of this data is also proprietary and demands high security so that different airlines and suppliers are only sharing what they are willing to share and can maintain control over who sees what and for how long.

Boeing needed a better way to share data between organizations in a highly controlled and secure way.

The company wanted a proof-of-concept that would demonstrate an interaction between Boeing, an airline, and a parts supplier, and the value of this aggregated data. It was needed under a tight timeline, and it needed to demonstrate innovation and customer-focused development to Boeing’s customers.

boeing

The Solution

Because this project was a new type of endeavor, Boeing did not have an established process internally and selected Valence as its innovation partner, benefiting from Valence’s dual-shore engineering services, with team members based in the US and in Argentina.

Valence conducted a series of client interviews and design sessions with key stakeholders to understand current processes and capabilities for sharing this type of data.  Because this was a new capability, there were many gaps and unknowns in the process.  Our team led the customer through envisioning sessions to develop wireframes for key features in the solution while also working closely with Microsoft to integrate with existing technology solutions including Microsoft Synapse, Purview, and an unreleased Microsoft product that creates and enforces contracts when data is shared securely.

Boeing Screenshot

Results

The solution was a responsive web application hosted in Azure that allowed users to access, share, and analyze data with airline customers and suppliers in a secure and trusted environment.

The result was a working application that allowed Boeing to demonstrate these key features to customers to gauge interest in becoming an early adopter of this new offering. The effort also enabled Boeing to collect early user feedback to inform the exploration of new revenue streams by monetizing existing data. Boeing was able to conduct market analysis rapidly and inexpensively without the long and expensive process of launching a new service.

Virtual Reality Application

Nestlé Purina

Virtual Reality Application

As a global leader in pet food manufacturing, Nestlé Purina has several factories located throughout the globe.

Sales staff are required to stay on top of the latest manufacturing innovations that Nestlé Purina deploys to ensure they can properly communicate the value proposition that only Nestlé Purina can deliver on.

Challenge

Nestle Purina historically relied on factory tours and in-person trainings to educate its sales team. Factory tours for the sales staff require significant advanced planning and the allocation of factory staff for explanation and safety. Additionally, factory visits require costly travel.

The client needed to find a better way to educate its sales team and needed to reduce the hard and soft costs associated with its training program.

Solution

Valence was engaged by Nestlé Purina to design and build a mobile virtual reality application, enabling sales staff to experience virtual tours of factories, immersing them in the environment with 360-degree views, and taking them step-by-step through the manufacturing process.

The process began with user research, UX design, and information architecture. The design team addressed personas of different user types and explored the key moments in the training process to identify key moments and interactions to recreate in the experience.

Next the engineering team partnered with the design team to execute on the concept, developing a virtual reality application.

Results

By using virtual reality, Valence helped Nestlé Purina train its staff on the latest manufacturing processes at scale, at a lower cost, and with more efficiency.

Nestlé Purina was able to asynchronously train employees, maintain the manufacturing staff’s focus on production, and dramatically save on time and travel costs.

Employees who used the VR training reported higher engagement, and higher retention of material, making the case that the VR training was both cheaper and more effective.

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Internet of Things and Data Visualization

Wood Products & Building Materials Manufacturer

Internet of Things and Data Visualization

This Fortune 500 North American manufacturer and distributor of wood products and building materials enjoys recognition as on of the world’s most respected companies. The company is a leader in its industry, which includes businesses operating with processes that are sometimes more than 100 years old.

Challenge

This client was operating a door manufacturing facility that relied completely on manual processes and functions. While there are benefits to this hands-on approach, there was no way for management to know when machines were idle in the factory, or if the factory is achieving manufacturing goals.

When the project started, output was falling short of production goals by as much as 40%.

The client needed insight into machine operations so it could better manage and predict output and optimize facility performance to better achieve production goals.

Solution

Valence was engaged to design and develop a digital solution that would collect, organize, and visualize operations data for facility operators.

The solution was achieved by implementing IoT sensors on three manufacturing machines. We then used Microsoft Azure to pull data from the controller of a fourth machine.

Additionally, we designed and developed a web application with a Power BI Dashboard to pulled the data from Microsoft Azure. We conducted user interviews and research to validate the reports and visualizations that would be most meaningful to the facility management team.

Results

Gathering real-time data from these manufacturing machines allowed management to measure real-time product output. The visibility to production allowed increased output and higher revenue.

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Data Visualization

Fortune 100 Vehicle Manufacturer

Data Visualization

Our client is a leader in the design and manufacture of light-, medium-, and heavy-duty vehicles and their parts. This is a sophisticated global leader with a complex ecosystem of products and customers. The business has vast sources of data, with data sources attributed to every aspect of its organization.

Challenge

Like many global, logistically complex businesses, this client was collecting tens of thousands of data points from trucks, with their parts driving across the country and around the world every hour of every day. They had a lot of data but struggled to make sense of it or to use it to advance the business.

The company needed to demonstrate market leadership and competitive differentiator, and there was a chance that data could help.

How smart is Artificial Intelligence?

The Solution

Valence was chosen to provide a reporting & analytics solution that would reveal actionable business insights. The solution includes big data visualization to help the sales team optimize product recommendations for each customer.

Valence started the effort by conducting a discovery period to document the data sources and also to understand the sales process and the sales team’s needs.

Informed by that discovery process, we then designed and developed  a Tableau dashboard that puts pertinent data at the fingertips of the sales team. The dashboard includes  informative graphs, charts, and maps showing everything from fuel economy by state per customer to the date and location of dash lamp errors. This level of customized specificity built trust with the prospective customers and demonstrated the high-quality experience that our client built their business upon.

The dashboard includes  an “Opportunity” section that estimates savings to customers if they switch to different configurations using actual data as the source for algorithms.

The client’s sales team has a one-of-a-kind, dynamic tool with real-world data to support customer interactions and sales efforts.

Results

The dashboard was universally adopted by the sales team and deployed in the prospecting process. Client satisfaction increased thanks to the quality of the recommendation engine, and relationships between sales team members and their clients were strengthened.